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Martin Sevilla

2 accepted papers

2024

End-to-End Learning of Gaussian Mixture Proposals Using Differentiable Particle Filters and Neural Networks

ICASSP 2024accepted

We introduce a new method, named PropMixNN, that uses a neural network to learn the proposal distribution of a particle filter. The optimal proposal distribution is approximated as a multivariate Gaussian mixture, so the proposed method aims at learning the means and covariance matrices of the S com…

Cited by 0SourceScholar